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Hemank Lamba
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1

Dissecting users' needs for search result explanations:

, In: Proceedings of the CHI Conference on Human Factors in Computing Systems,
Juneja, Prerna ; Zhang, Wenjuan ; Smith-Renner, Alison Marie... - p. 1-17 , 2024
Link: https://dl.acm.org/doi/1..
 
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2

Explainable machine learning for public policy: Use cases, ..:

Amarasinghe, Kasun ; Rodolfa, Kit T. ; Lamba, Hemank.
Data & Policy.  5 (2023)  - p. , 2023
Link: https://doi.org/10.1017/..
 
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3

"This is damn slick!" : estimating the impact of tweets ..:

, In: Proceedings of the 44th International Conference on Software Engineering,
Fang, Hongbo ; Lamba, Hemank ; Herbsleb, James. - p. 2116-2129 , 2022
Link: https://dl.acm.org/doi/1..
 
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4

"This Is Damn Slick!" Estimating the Impact of Tweets on Op..:

, In: 2022 IEEE/ACM 44th International Conference on Software Engineering (ICSE),
Fang, Hongbo ; Lamba, Hemank ; Herbsleb, James. - p. 2116-2129 , 2022
Link: https://doi.org/10.1145/..
 
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5

Empirical observation of negligible fairness–accuracy trade..:

Rodolfa, Kit T. ; Lamba, Hemank ; Ghani, Rayid
Nature Machine Intelligence.  3 (2021)  10 - p. 896-904 , 2021
Link: https://doi.org/10.1038/..
 
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6

An Empirical Comparison of Bias Reduction Methods on Real-W..:

Lamba, Hemank ; Rodolfa, Kit T. ; Ghani, Rayid
ACM SIGKDD Explorations Newsletter.  23 (2021)  1 - p. 69-85 , 2021
Link: https://doi.org/10.1145/..
 
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7

An Empirical Comparison of Bias Reduction Methods on Real-W..:

Lamba, Hemank ; Rodolfa, Kit T. ; Ghani, Rayid
ACM SIGKDD Explorations Newsletter.  23 (2021)  1 - p. 69-85 , 2021
Link: https://dl.acm.org/doi/1..
 
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8

Need for Tweet: How Open Source Developers Talk About Their..:

, In: 2020 IEEE/ACM 17th International Conference on Mining Software Repositories (MSR),
Fang, Hongbo ; Klug, Daniel ; Lamba, Hemank.. - p. 322-326 , 2020
Link: https://doi.org/10.1145/..
 
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9

Provably Robust Node Classification via Low-Pass Message Pa..:

, In: 2020 IEEE International Conference on Data Mining (ICDM),
Wang, Yiwei ; Liu, Shenghua ; Yoon, Minji... - p. 621-630 , 2020
Link: https://doi.org/10.1109/..
 
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10

Heard it through the Gitvine: an empirical study of tool di..:

, In: Proceedings of the 28th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering,
Lamba, Hemank ; Trockman, Asher ; Armanios, Daniel... - p. 505-517 , 2020
Link: https://dl.acm.org/doi/1..
 
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11

Need for Tweet : How Open Source Developers Talk About T..:

, In: Proceedings of the 17th International Conference on Mining Software Repositories,
Fang, Hongbo ; Klug, Daniel ; Lamba, Hemank.. - p. 322-326 , 2020
Link: https://dl.acm.org/doi/1..
 
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12

Characterizing and detecting livestreaming chatbots:

, In: Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining,
Jain, Shreya ; Niranjan, Dipankar ; Lamba, Hemank.. - p. 683-690 , 2019
Link: https://dl.acm.org/doi/1..
 
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13

WebHound: a data-driven intrusion detection from real-world..:

Wei, Te-En ; Lee, Hahn-Ming ; Jeng, Albert B...
Soft Computing.  23 (2019)  22 - p. 11947-11965 , 2019
Link: https://doi.org/10.1007/..
 
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14

Characterizing and Detecting Livestreaming Chatbots:

, In: 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM),
Jain, Shreya ; Niranjan, Dipankar ; Lamba, Hemank.. - p. 683-690 , 2019
Link: https://doi.org/10.1145/..
 
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15

Modeling Dwell Time Engagement on Visual Multimedia:

, In: Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining,
Lamba, Hemank ; Shah, Neil - p. 1104-1113 , 2019
Link: https://dl.acm.org/doi/1..
 
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